Defining 5G Software, Bolstering Networks

The demand on the wireless industry to absorb, process, and deliver data at an unprecedented scale requires a new kind of network. The world’s leading telcos are turning to NVIDIA technologies to optimize networks, innovate faster, and deliver new services.

We’ll be collaborating with NVIDIA to experiment with new ways of delivering experiences over 5G and edge computing technology.

Alisha Seam, AT&T Foundry in Palo Alto

AI- Accelerated 5G

NVIDIA GPUs and CUDA? technology let telcos accelerate compute-intensive applications and VNF workloads with the largest amount of parallelizable code. Applications will be able to take advantage of the growth in computing power with GPUs from generation to generation without having to change software functionalities.

Technologies transforming telecommunications

Deep Learning for Network Operations

NVIDIA GPUs accelerate the actual training of channel autoencoders to speeds comparable to compiling programs for desktop processors in minutes, and sometimes even seconds. Once the model has been trained, it can then be deployed into a low-power, high performance embedded systems like the NVIDIA Jetson? TX2 or AGX Xavier?. This creates a design flow where communications engineers can easily build optimized physical layers and then deploy them to embedded devices at the edge.

Accelerated Large-Scale Object Detection

Accurately detecting the presence of humans is critical to a variety of applications. High-performance deep learning training makes it possible to create robust and generalizable models for objects, humans, animals, and machines for object detection over 5G using NVIDIA TensorRT. Maintaining real-time inference performance in production environments while preserving high accuracy is critical, whether in the data center or at the edge. Every percent increase in accuracy leads to exponential gains for organizations providing video-based services.

Background Noise Suppression

Existing noise suppression solutions in today’s mobile phones aren’t perfect, but they do provide an improved user experience. NVIDIA’s deep learning solution requires just a single microphone with all the post-processing handled by software. This allows hardware designs to be simpler and more efficient, completely muting the background noise for more pleasant and intelligible communications.

TAKE A DEEPER DIVE INTO THE TELECOM INDUSTRY

As we hurtle toward the era of 5G, where cars, MRI scanners, and even washing machines will be connected, telecommunications companies are challenged to serve the vast amounts of content and services it will generate. To manage data loads, process complex network functions, provide new services, and drive revenue growth, they need to build a new kind of network.

Watch this talk from GTC 2019 to delve into this new era. It covers the challenges, strategies, a potential solution, and global case studies.